Conquer Your Requests One Handler at a Time: The Chain of Responsibility
Harsh Gupta
Member of Technical Staff - SDE at Salesforce with expertise in AI and Cloud
Ever felt overwhelmed by a tangled mess of conditional statements, each checking for a specific request type? The Chain of Responsibility design pattern cuts through the chaos, offering an elegant solution for handling requests sequentially.
Imagine a train carrying requests through a series of stations. Each station (a handler class ) has a specific responsibility. If the station can handle the request, it does the job. Otherwise, the request will be forwarded to the next station in the chain. This approach keeps your code modular, organized, and, most importantly, easy to extend ?!
Here's a breakdown of the key players:
Benefits of the Chain of Responsibility (?):
When to Use the Chain of Responsibility:
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Example: Authorization Chain
Imagine a login process where different handlers (e.g., username validation, password check, role verification) process the login request sequentially. If one handler fails, the chain stops, and the user receives an error message.
Conclusion:
The Chain of Responsibility design pattern empowers you to manage request handling efficiently. By delegating tasks to specialized handlers, you create a flexible and extensible system that can adapt to your evolving needs. So, next time you're facing a complex request-handlin
g scenario, consider putting the Chain of Responsibility on the tracks ? of your code!
Feel free to share your experiences with the Chain of Responsibility pattern in the comments below!
#designpatterns #chainofresponsibility #objectorientedprogramming #modularity #flexibility #extensibility #maintainability #requestprocessing #softwareengineering
SE2 Microsoft | ex-Arcesium | ex-Qualcomm | CSE @ IIITD
1 年Awesome post. I like to think of it as a Linked list. Each linked list node having its own priority and job.